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Titlebook: Distributed Autonomous Robotic Systems; The 12th Internation Nak-Young Chong,Young-Jo Cho Conference proceedings 2016 Springer Japan 2016 A

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楼主: 浮浅
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Towards Cooperative Localization in Robotic Swarmsg a well studied problem, very few works deal with the increased complexity when a large number of robots is used, as is the case in robotic swarms. In this paper, we present a characterization and analysis of the cooperative localization problem for robotic swarms. We use a decentralized cooperativ
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MOARSLAM: Multiple Operator Augmented RSLAMm online operation, the merging of maps from heterogeneous devices must be fast and allow for scalable growth in both the number of clients and the size of the map. This paper presents a system which allows multiple clients to share and merge maps built from a state-of-the-art relative SLAM system.
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Distributed Path Planning for Collective Transport Using Homogeneous Multi-robot Systemsrobots. The robots are randomly scattered across the terrain and collectively sample the obstacles in the environment in a distributed fashion. Given this sampling and the dimensions of the bounding box of the object, the robots construct a distributed configuration space. We then use a variant of t
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Collective Construction of Dynamic Equilibrium Structure Through Interaction of Simple Robots with Ss to communicate with neighboring blocks. In our proposed method, the structure is formed by growing chain of blocks. The growth direction is determined by the rule set and a counter value passed between the blocks. The robots load or unload the block based on a simple algorithm and a local signal f
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Cooperative Mobile Robot Control Architecture for Lifting and Transportation of Any Shape Payloadinto a modular poly-robot (p-bot). The focus is made in this paper on the chosen methodology to obtain sub-optimal positioning of the robots around the payload to lift it and to transport it while maintaining a geometric multi-robot formation. This appropriate positioning is obtained by combining th
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Simple Epidemics and SIS Models built-in heterogeneity such as multiple antagonistic objectives or robot constraints are shown to benefit from the combination. Based on our taxonomy, we evaluate four representative robotic use cases in simulation by combining the specific methods of Voronoi coverage and reciprocal velocity obstacles.
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